732A70 · 3 credits · Advanced level (A1N) · Datavetenskap

Introduction to Python

Active · next start HT 2026

100%

passed the latest regular sitting

LAB2 · 18 Jan 2026 · 25 students

100%

passed the regular sittings, all sittings over the last 5 years

LAB2 · 130 students

This module only reports passing results, so the pass rate does not show how many did not pass.

Part of 1 programme

Hand-in or lab

100% passed · 130 students

100% passed · 19 students

Pass a later round: 100% (19 students), compared with 100% (130 students) on the ordinary exam

Show small sittings (8)

Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.

After completing the course, the student shall be able to:

Write a computer code for scientific computing using basic Python language elements
Use simple and advanced data structures for problem solving
Apply tools available in some commonly used Python packages
Correct mistakes in own codes by means of debugging tools
motivate own solutions with Python in written form

The course covers:

Python basics: programming environment and documentation, program flow, variables, comments, numerical operators, loops, conditional statements
Data structures: simple data types, tuples, lists, dictionaries, sets, iterators and generators
Functions and functional programming, anonymous lambda functions, comprehensions
Classes and object oriented programming, objects and message passing
The standard library and essential third-party packages for graphics, scientific computing and data manipulation
Debugging